Transit times / Kln Freight Canada Inc

Kln Freight Canada Inc

57 ocean import shipments. Delayed 7.1 points more often than the dataset average of 43.8%.

57
Shipments
50.9%
Arrived late
29 shipments
25 days
Average delay, when late
median 30 days
30 days
Worst single delay

How late, when late

Every shipment placed in a band. Early and on-time are shown too, so the delayed share is read against the whole, not on its own.

0
0%
Early
28
49.1%
On time
5
8.8%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
24
42.1%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    0%
    280 late
  2. Zim
    100%
    26.8d
    2727 late
  3. Hapag Lloyd
    100%
    1d
    22 late

By route

All 7 lanes.

% delayed avg days late, when laten = shipments
  1. Pusan > Tacoma, Wa
    7.1%
    1d
    282 late
  2. Pusan > Seattle, Wa
    100%
    30d
    99 late
  3. Ning Bo > Seattle, Wa
    100%
    30d
    77 late
  4. Yantian > Seattle, Wa
    100%
    30d
    44 late
  5. Qingdao > Seattle, Wa
    100%
    30d
    44 late
  6. Cartagena > Miami, Florida
    100%
    1d
    33 late
  7. Ning Bo > Tacoma, Wa
    0%
    20 late

By supplier

Top 12 of 17 suppliers; 5 shipments across the remaining 5 not shown.

% delayed avg days late, when laten = shipments
  1. K Apex International Freight
    100%
    30d
    88 late
  2. K Eas Logistics Limited
    100%
    30d
    66 late
  3. Kapex Logistics Dalian Co Limited
    0%
    60 late
  4. Kapex Logistics Yantai Co Ltd
    0%
    60 late
  5. Kapex Logistics Qingdao Co Ltd
    0%
    60 late
  6. Kln Freight Usa Inc
    20%
    1d
    51 late
  7. K Eas Logistics Shenzhen Ltd
    100%
    30d
    33 late
  8. K Apex Logistics Tianjin Co
    100%
    30d
    33 late
  9. Rexcargo Logistics Guatemala Sa
    100%
    1d
    33 late
  10. K Eas Logistics Limited Ningbo
    100%
    30d
    22 late
  11. Kapex Logistics Xiamen Company Li
    0%
    20 late
  12. Kapex International Freight
    0%
    20 late

Delay rate by arrival date

Share of each day’s arrivals that came in late. A single late vessel puts the same delay on every container it carried, so a tall isolated bar is usually one sailing rather than a bad week — the count under each bar is the check on that.

100%
n=27
2026-08-04
6.7%
n=30
2026-08-05

By destination port

Where the delay actually lands — a congested discharge port shows up here rather than under the carrier.

% delayed avg days late, when laten = shipments
  1. Tacoma, Wa
    6.7%
    1d
    302 late
  2. Seattle, Wa
    100%
    30d
    2424 late
  3. Miami, Florida
    100%
    1d
    33 late

By supplier country

Origin-side effects: a country whose shipments are consistently late points at booking or documentation, not at the ocean leg.

% delayed avg days late, when laten = shipments
  1. China
    29.7%
    27.4d
    3711 late
  2. South Korea
    100%
    27.1d
    1010 late
  3. Grenada
    100%
    30d
    33 late
  4. Guatemala
    100%
    1d
    33 late
  5. Sudan
    100%
    30d
    22 late
  6. France
    0%
    20 late

Reading this

Delay is measured against each shipment’s own estimated arrival on the same manifest record, so it reflects what was promised for that shipment. Average days late is taken over delayed shipments only.

A delay is usually a property of one sailing: every container off a late ship arrives the same day. It is not only that — an estimated arrival is set per bill of lading at booking, so two containers on the same ship can carry different delays. Across the shipments that name a vessel, two thirds of same-ship, same-day groups share a single delay value and a third do not.

Watch the counts. A carrier or lane with a handful of shipments can show a dramatic rate off one or two late arrivals — the n beside every bar is there so a small sample is never mistaken for a pattern.

Track a shipment live →